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NOTE: This data is still under beta release by NOAA/CPC. Users
wishing to use a stable release are advised to access the CMORPH
version 0.x data from RDA dataset ds502.1
[https://rda.ucar.edu/datasets/ds502.1/#!description].
This dataset contains version 1.0 of the NOAA CPC MORPHing
technique (CMORPH) global precipitation analyses covering the period
January 1998-present at 0.25 degree, 3-hourly resolution. Version
1.0 comprises reprocessed data using a fixed algorithm with inputs
of the same versions. In contrast, CMORPH Version 0.x is generated
using an evolving algorithm with inputs of changing versions over
the entire data period. The major differences between Versions 1.0
and 0.x are the following:
* Version 1.0 covers the entire TRMM/GPM era from January
1998 to the
present, while Version 0.x started from December 2002.
* Version 1.0 is generated using a fixed algorithm and inputs
of fixed
versions to ensure best possible homogeneity, while Version
0.x has
been produced using an evolving algorithm and inputs of
changing
versions, and therefore presents substantial
inhomogeneities,
especially over the earlier years of its operations
(2003-2006).
* Version 1.0 include the raw, satellite only precipitation
estimates as
well as bias corrected and gauge-satellite blended
precipitation
products, while Version 0.x only has the satellite-only
products.
CMORPH produces global precipitation analyses at very high spatial
and temporal resolution. This technique uses precipitation estimates
that have been derived from low orbiter satellite microwave
observations exclusively, and whose features are transported via
spatial propagation information that is obtained entirely from
geostationary satellite infrared data. Precipitation estimates are
derived from the passive microwaves aboard the DMSP 13, 14 and 15
(SSM/I), the NOAA-15, 16, 17 and 18 (AMSU-B), and AMSR-E and TMI
aboard NASA's Aqua and TRMM spacecraft, respectively. These
estimates are generated by algorithms of Ferraro (1997) for SSM/I,
Ferraro et al. (2000) for AMSU-B and Kummerow et al. (2001) for TMI.
Note that this technique is not a precipitation estimation algorithm
but a means by which estimates from existing microwave rainfall
algorithms can be combined. Therefore, this method is extremely
flexible such that any precipitation estimates from any microwave
satellite source can be incorporated.
CMORPH Version 0.x data may be accessed from RDA datasets ds502.0
(data prior to June 2014) and ds502.1 (June 2014-present).
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